InputSerifNarrow ExLightIta Testing
Similar fonts
- ABC Oracle Cyrillic Triple Unlicensed Trial Light
- ABC Social Cyrillic Condensed Light Italic
- Anaheim Regular
- Artex SemiCondensed Light It
- Baikal Condensed Extra Light
- Bunday Clean SemiLight
- CoFo Weather Trial Condensed Light Italic
- CoreSlabMCn-37Light
- FSP DEMO - ddln xtr Lght Cndnsd Regular
- FSP DEMO - Prdt LT Nrw Lght Regular
- FSP DEMO - Prxm Nv Cnd Lght Regular
- Geeker Thin
- Geogrotesque-LightItalic
- Gineso Ext Book Italic
- GoodHeadlinePro-Light
- Heading Pro Double Light
- JetBrainsMonoNL NF ExtraLight Italic
- Kohinoor Arabic Light
- Kohinoor Bangla Light
- Marsden Text Condensed Light
- Niva-ExtraLight-Italic_Condensed
- OC Highway VAR2 Series 3 Oblique G-2
- Pathway Extreme 36pt SemiCondensed ExtraLight Italic
- Pathway Extreme SemiCondensed Thin Italic
- RetinaNarrow-LightItalic
- RonniaLt
- SamsungOne-300
- Sanuk WebW03 Light
- Somatype-Bold
- TTMarksRough-Medium
- Ubuntu Sans SemiCondensed Light
- VerbExCondLight-Italic
- Wolseley Condensed Light Italic
Details
How are we calculating this?
We analyze each font added to FontBase locally using the opentype.js library. We render the text off-canvas and measure key characteristics: stroke width; difference between bold and thin strokes; the relation of "x" letter height to capital letters; width of the letters compared to height; "i" size compared to "w" size. From these calculated numbers, we then build weight, proportion, xHeight and contrast. We also analyze the font's naming table to retrieve the basic info like font name, foundry and style names. No fonts are uploaded to our servers in the process.
How do we determine similar fonts?
Based on the characteristics we retrieve, on each font page, we select the fonts that have all the same parameter numbers. For example, if a font has 0.6 weight, we select fonts from our database that are in the range of 0.5-0.7 weight. We do this with all parameters combined, resulting in a similar font selection.